Improvement in Diagnosis in Healthcare System Using Machine Learning Algorithm

Abstract

It is currently hard to identify patient data at a vital time due to the fact that the data differ from hospital to hospital, despite the significant developments in technology that have occurred in recent years. Therefore, a computer program or system that is automated will be of assistance in the process of securely sharing the patient's data with the concept of a central database. Maintaining the record in a digital format will be beneficial, as it will assist both the physician and the hospital in maintaining it in an appropriate manner. The Healthcare Management System is an application that is based on the web and may determine the ailment that the user is suffering from based on the symptoms that the user has provided. By utilizing the data that is generated throughout the numerous diagnostic procedures that are performed in different hospitals, the Healthcare Management System is able to obtain an accurate diagnosis, while also assisting in the referral of the patient to the physician for additional advice. The primary purpose of the research topic is to make the health system more systematic in terms of the availability of doctors and the level of satisfaction experienced by patients together with the relevant resources. The centralized database of patient ids was not available in any scenario, which would have assisted the patient in locating themselves from any diagnosis procedure and treatments. Additionally, this system includes the study of case history for doctors, which will make it easier for them to recommend appropriate treatment. In this system, we make an effort to make the system accessible to every individual who is connected to the system.